Soft computing approach to electrical transmission network congestion management

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper an efficient technique is described for managing the congestion in electric transmission network based on rescheduling the nearby generators and/or shedding some of the loads. To incorporate the uncertainty in the system objectives and parameters, fuzzy environment is considered for the formulation of the problem. In the solution process bio-inspired computational technique, genetic algorithm (GA) is used. The approach is illustrated by standard IEEE 30-bus 6-generator test system.

Cite

CITATION STYLE

APA

Mukhopadhyay, D. S., Chanda, R., Chakraborti, D., & Biswas, P. (2018). Soft computing approach to electrical transmission network congestion management. In Lecture Notes in Networks and Systems (Vol. 11, pp. 59–70). Springer. https://doi.org/10.1007/978-981-10-3953-9_7

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free